group_3
  1   2   3 
798 805 805 
Iteration: 1, Log-Lik: -11538.508, Max-Change: 0.72724Iteration: 2, Log-Lik: -11172.776, Max-Change: 0.28202Iteration: 3, Log-Lik: -11107.203, Max-Change: 0.17221Iteration: 4, Log-Lik: -11086.691, Max-Change: 0.10884Iteration: 5, Log-Lik: -11079.394, Max-Change: 0.07050Iteration: 6, Log-Lik: -11076.532, Max-Change: 0.04557Iteration: 7, Log-Lik: -11074.768, Max-Change: 0.01702Iteration: 8, Log-Lik: -11074.510, Max-Change: 0.01299Iteration: 9, Log-Lik: -11074.373, Max-Change: 0.00916Iteration: 10, Log-Lik: -11074.243, Max-Change: 0.00431Iteration: 11, Log-Lik: -11074.227, Max-Change: 0.00283Iteration: 12, Log-Lik: -11074.219, Max-Change: 0.00223Iteration: 13, Log-Lik: -11074.209, Max-Change: 0.00122Iteration: 14, Log-Lik: -11074.208, Max-Change: 0.00087Iteration: 15, Log-Lik: -11074.207, Max-Change: 0.00068Iteration: 16, Log-Lik: -11074.207, Max-Change: 0.00014Iteration: 17, Log-Lik: -11074.207, Max-Change: 0.00013Iteration: 18, Log-Lik: -11074.207, Max-Change: 0.00010Iteration: 19, Log-Lik: -11074.207, Max-Change: 0.00006

Call:
multipleGroup(data = irt_data_3, model = 1, group = group_3)

Full-information item factor analysis with 1 factor(s).
Converged within 1e-04 tolerance after 19 EM iterations.
mirt version: 1.41 
M-step optimizer: BFGS 
EM acceleration: Ramsay 
Number of rectangular quadrature: 61
Latent density type: Gaussian 

Log-likelihood = -11074.21
Estimated parameters: 48 
AIC = 22244.41
BIC = 22522.17; SABIC = 22369.66
G2 (717) = 1121.29, p = 0
RMSEA = 0.015, CFI = NaN, TLI = NaN

----------
GROUP: Boy 
                F1    h2
Respect      0.536 0.287
Obedient     0.732 0.535
GoodMannered 0.664 0.441
WellBehaved  0.602 0.363
Polite       0.701 0.492
Orderly      0.740 0.547
Disciplined  0.679 0.461
Loyal        0.659 0.434

SS loadings:  3.56 
Proportion Var:  0.445 

Factor correlations: 

   F1
F1  1

----------
GROUP: Control 
                F1    h2
Respect      0.625 0.391
Obedient     0.732 0.535
GoodMannered 0.730 0.532
WellBehaved  0.596 0.355
Polite       0.677 0.459
Orderly      0.755 0.570
Disciplined  0.732 0.535
Loyal        0.575 0.331

SS loadings:  3.708 
Proportion Var:  0.464 

Factor correlations: 

   F1
F1  1

----------
GROUP: Girl 
                F1    h2
Respect      0.399 0.159
Obedient     0.673 0.453
GoodMannered 0.684 0.468
WellBehaved  0.625 0.390
Polite       0.582 0.339
Orderly      0.768 0.590
Disciplined  0.718 0.516
Loyal        0.582 0.339

SS loadings:  3.253 
Proportion Var:  0.407 

Factor correlations: 

   F1
F1  1
            M2 df p      RMSEA    RMSEA_5   RMSEA_95  SRMSR.Boy SRMSR.Control SRMSR.Girl       TLI
stats 324.2211 60 0 0.04277304 0.03826151 0.04738867 0.05514797    0.05392601 0.05365492 0.9228775
            CFI
stats 0.9449125
Iteration: 1, Log-Lik: -11538.508, Max-Change: 0.61656Iteration: 2, Log-Lik: -11323.899, Max-Change: 0.49787Iteration: 3, Log-Lik: -11264.208, Max-Change: 0.23626Iteration: 4, Log-Lik: -11247.670, Max-Change: 0.17195Iteration: 5, Log-Lik: -11240.596, Max-Change: 0.14562Iteration: 6, Log-Lik: -11238.018, Max-Change: 0.09047Iteration: 7, Log-Lik: -11237.219, Max-Change: 0.05735Iteration: 8, Log-Lik: -11236.860, Max-Change: 0.04193Iteration: 9, Log-Lik: -11236.702, Max-Change: 0.02994Iteration: 10, Log-Lik: -11236.563, Max-Change: 0.01409Iteration: 11, Log-Lik: -11236.548, Max-Change: 0.01022Iteration: 12, Log-Lik: -11236.538, Max-Change: 0.00532Iteration: 13, Log-Lik: -11236.533, Max-Change: 0.00588Iteration: 14, Log-Lik: -11236.529, Max-Change: 0.00126Iteration: 15, Log-Lik: -11236.527, Max-Change: 0.00124Iteration: 16, Log-Lik: -11236.523, Max-Change: 0.00185Iteration: 17, Log-Lik: -11236.523, Max-Change: 0.00020Iteration: 18, Log-Lik: -11236.523, Max-Change: 0.00014Iteration: 19, Log-Lik: -11236.522, Max-Change: 0.00071Iteration: 20, Log-Lik: -11236.522, Max-Change: 0.00072Iteration: 21, Log-Lik: -11236.522, Max-Change: 0.00066Iteration: 22, Log-Lik: -11236.522, Max-Change: 0.00014Iteration: 23, Log-Lik: -11236.522, Max-Change: 0.00065Iteration: 24, Log-Lik: -11236.522, Max-Change: 0.00011Iteration: 25, Log-Lik: -11236.522, Max-Change: 0.00058Iteration: 26, Log-Lik: -11236.522, Max-Change: 0.00018Iteration: 27, Log-Lik: -11236.522, Max-Change: 0.00057Iteration: 28, Log-Lik: -11236.522, Max-Change: 0.00065Iteration: 29, Log-Lik: -11236.522, Max-Change: 0.00012Iteration: 30, Log-Lik: -11236.522, Max-Change: 0.00045Iteration: 31, Log-Lik: -11236.522, Max-Change: 0.00014Iteration: 32, Log-Lik: -11236.522, Max-Change: 0.00040Iteration: 33, Log-Lik: -11236.522, Max-Change: 0.00009

Call:
multipleGroup(data = irt_data_3, model = 1, group = group_3, 
    invariance = c("intercepts"))

Full-information item factor analysis with 1 factor(s).
Converged within 1e-04 tolerance after 33 EM iterations.
mirt version: 1.41 
M-step optimizer: BFGS 
EM acceleration: Ramsay 
Number of rectangular quadrature: 61
Latent density type: Gaussian 

Log-likelihood = -11236.52
Estimated parameters: 48 
AIC = 22537.04
BIC = 22722.21; SABIC = 22620.54
G2 (733) = 1445.92, p = 0
RMSEA = 0.02, CFI = NaN, TLI = NaN

----------
GROUP: Boy 
                F1    h2
Respect      0.572 0.327
Obedient     0.612 0.374
GoodMannered 0.651 0.424
WellBehaved  0.566 0.321
Polite       0.760 0.578
Orderly      0.808 0.654
Disciplined  0.639 0.409
Loyal        0.653 0.426

SS loadings:  3.513 
Proportion Var:  0.439 

Factor correlations: 

   F1
F1  1

----------
GROUP: Control 
                F1    h2
Respect      0.636 0.405
Obedient     0.857 0.734
GoodMannered 0.720 0.518
WellBehaved  0.647 0.418
Polite       0.649 0.421
Orderly      0.669 0.448
Disciplined  0.746 0.557
Loyal        0.515 0.265

SS loadings:  3.765 
Proportion Var:  0.471 

Factor correlations: 

   F1
F1  1

----------
GROUP: Girl 
                F1    h2
Respect      0.423 0.179
Obedient     0.692 0.478
GoodMannered 0.662 0.438
WellBehaved  0.619 0.383
Polite       0.565 0.320
Orderly      0.769 0.592
Disciplined  0.777 0.603
Loyal        0.599 0.359

SS loadings:  3.352 
Proportion Var:  0.419 

Factor correlations: 

   F1
F1  1
            M2 df p      RMSEA    RMSEA_5   RMSEA_95  SRMSR.Boy SRMSR.Control SRMSR.Girl       TLI
stats 672.5952 76 0 0.05710775 0.05317301 0.06110135 0.05979684    0.06247862 0.05692781 0.8625228
            CFI
stats 0.8756158
                      AIC    SABIC       HQ      BIC    logLik     X2 df p
mod_metricb_3    22537.04 22620.54 22604.40 22722.21 -11236.52            
mod_configural_3 22244.41 22369.66 22345.44 22522.17 -11074.21 324.63 16 0
Iteration: 1, Log-Lik: -11538.508, Max-Change: 0.73940Iteration: 2, Log-Lik: -11187.560, Max-Change: 0.27062Iteration: 3, Log-Lik: -11119.566, Max-Change: 0.16775Iteration: 4, Log-Lik: -11098.383, Max-Change: 0.10290Iteration: 5, Log-Lik: -11090.716, Max-Change: 0.06755Iteration: 6, Log-Lik: -11087.806, Max-Change: 0.04131Iteration: 7, Log-Lik: -11086.115, Max-Change: 0.02215Iteration: 8, Log-Lik: -11085.834, Max-Change: 0.01320Iteration: 9, Log-Lik: -11085.698, Max-Change: 0.01024Iteration: 10, Log-Lik: -11085.560, Max-Change: 0.00415Iteration: 11, Log-Lik: -11085.547, Max-Change: 0.00237Iteration: 12, Log-Lik: -11085.544, Max-Change: 0.00145Iteration: 13, Log-Lik: -11085.540, Max-Change: 0.00119Iteration: 14, Log-Lik: -11085.539, Max-Change: 0.00090Iteration: 15, Log-Lik: -11085.538, Max-Change: 0.00044Iteration: 16, Log-Lik: -11085.538, Max-Change: 0.00038Iteration: 17, Log-Lik: -11085.538, Max-Change: 0.00029Iteration: 18, Log-Lik: -11085.538, Max-Change: 0.00021Iteration: 19, Log-Lik: -11085.538, Max-Change: 0.00017Iteration: 20, Log-Lik: -11085.538, Max-Change: 0.00013Iteration: 21, Log-Lik: -11085.538, Max-Change: 0.00010

Call:
multipleGroup(data = irt_data_3, model = 1, group = group_3, 
    invariance = c("slopes"))

Full-information item factor analysis with 1 factor(s).
Converged within 1e-04 tolerance after 21 EM iterations.
mirt version: 1.41 
M-step optimizer: BFGS 
EM acceleration: Ramsay 
Number of rectangular quadrature: 61
Latent density type: Gaussian 

Log-likelihood = -11085.54
Estimated parameters: 48 
AIC = 22235.08
BIC = 22420.24; SABIC = 22318.57
G2 (733) = 1143.95, p = 0
RMSEA = 0.015, CFI = NaN, TLI = NaN

----------
GROUP: Boy 
                F1    h2
Respect      0.523 0.274
Obedient     0.710 0.504
GoodMannered 0.693 0.481
WellBehaved  0.606 0.367
Polite       0.658 0.434
Orderly      0.756 0.571
Disciplined  0.712 0.507
Loyal        0.604 0.365

SS loadings:  3.502 
Proportion Var:  0.438 

Factor correlations: 

   F1
F1  1

----------
GROUP: Control 
                F1    h2
Respect      0.523 0.274
Obedient     0.710 0.504
GoodMannered 0.693 0.481
WellBehaved  0.606 0.367
Polite       0.658 0.434
Orderly      0.756 0.571
Disciplined  0.712 0.507
Loyal        0.604 0.365

SS loadings:  3.502 
Proportion Var:  0.438 

Factor correlations: 

   F1
F1  1

----------
GROUP: Girl 
                F1    h2
Respect      0.523 0.274
Obedient     0.710 0.504
GoodMannered 0.693 0.481
WellBehaved  0.606 0.367
Polite       0.658 0.434
Orderly      0.756 0.571
Disciplined  0.712 0.507
Loyal        0.604 0.365

SS loadings:  3.502 
Proportion Var:  0.438 

Factor correlations: 

   F1
F1  1
            M2 df p    RMSEA    RMSEA_5   RMSEA_95  SRMSR.Boy SRMSR.Control SRMSR.Girl       TLI
stats 349.0982 76 0 0.038638 0.03457751 0.04278072 0.05718736    0.05935374 0.06214806 0.9370682
            CFI
stats 0.9430617
                      AIC    SABIC       HQ      BIC    logLik     X2 df     p
mod_metric_3     22235.08 22318.57 22302.43 22420.24 -11085.54                
mod_configural_3 22244.41 22369.66 22345.44 22522.17 -11074.21 22.662 16 0.123
Iteration: 1, Log-Lik: -11538.508, Max-Change: 0.38871Iteration: 2, Log-Lik: -11301.332, Max-Change: 0.18234Iteration: 3, Log-Lik: -11266.240, Max-Change: 0.08926Iteration: 4, Log-Lik: -11256.360, Max-Change: 0.05109Iteration: 5, Log-Lik: -11250.341, Max-Change: 0.04631Iteration: 6, Log-Lik: -11245.702, Max-Change: 0.04006Iteration: 7, Log-Lik: -11241.951, Max-Change: 0.03426Iteration: 8, Log-Lik: -11238.878, Max-Change: 0.03170Iteration: 9, Log-Lik: -11236.348, Max-Change: 0.02918Iteration: 10, Log-Lik: -11232.907, Max-Change: 0.06531Iteration: 11, Log-Lik: -11228.131, Max-Change: 0.03122Iteration: 12, Log-Lik: -11227.275, Max-Change: 0.01950Iteration: 13, Log-Lik: -11226.410, Max-Change: 0.01771Iteration: 14, Log-Lik: -11225.933, Max-Change: 0.01328Iteration: 15, Log-Lik: -11225.571, Max-Change: 0.01111Iteration: 16, Log-Lik: -11225.080, Max-Change: 0.02296Iteration: 17, Log-Lik: -11224.385, Max-Change: 0.01136Iteration: 18, Log-Lik: -11224.253, Max-Change: 0.00724Iteration: 19, Log-Lik: -11224.116, Max-Change: 0.00665Iteration: 20, Log-Lik: -11224.041, Max-Change: 0.00499Iteration: 21, Log-Lik: -11223.984, Max-Change: 0.00448Iteration: 22, Log-Lik: -11223.905, Max-Change: 0.00905Iteration: 23, Log-Lik: -11223.794, Max-Change: 0.00431Iteration: 24, Log-Lik: -11223.773, Max-Change: 0.00275Iteration: 25, Log-Lik: -11223.750, Max-Change: 0.00251Iteration: 26, Log-Lik: -11223.738, Max-Change: 0.00191Iteration: 27, Log-Lik: -11223.729, Max-Change: 0.00185Iteration: 28, Log-Lik: -11223.715, Max-Change: 0.00374Iteration: 29, Log-Lik: -11223.697, Max-Change: 0.00164Iteration: 30, Log-Lik: -11223.693, Max-Change: 0.00104Iteration: 31, Log-Lik: -11223.689, Max-Change: 0.00095Iteration: 32, Log-Lik: -11223.687, Max-Change: 0.00078Iteration: 33, Log-Lik: -11223.686, Max-Change: 0.00076Iteration: 34, Log-Lik: -11223.684, Max-Change: 0.00158Iteration: 35, Log-Lik: -11223.680, Max-Change: 0.00060Iteration: 36, Log-Lik: -11223.680, Max-Change: 0.00038Iteration: 37, Log-Lik: -11223.679, Max-Change: 0.00039Iteration: 38, Log-Lik: -11223.679, Max-Change: 0.00033Iteration: 39, Log-Lik: -11223.679, Max-Change: 0.00032Iteration: 40, Log-Lik: -11223.678, Max-Change: 0.00068Iteration: 41, Log-Lik: -11223.678, Max-Change: 0.00021Iteration: 42, Log-Lik: -11223.678, Max-Change: 0.00016Iteration: 43, Log-Lik: -11223.677, Max-Change: 0.00018Iteration: 44, Log-Lik: -11223.677, Max-Change: 0.00014Iteration: 45, Log-Lik: -11223.677, Max-Change: 0.00013Iteration: 46, Log-Lik: -11223.677, Max-Change: 0.00030Iteration: 47, Log-Lik: -11223.677, Max-Change: 0.00007

Call:
multipleGroup(data = irt_data_3, model = 1, group = group_3, 
    invariance = c("slopes", "intercepts", "free_var", "free_means"))

Full-information item factor analysis with 1 factor(s).
Converged within 1e-04 tolerance after 47 EM iterations.
mirt version: 1.41 
M-step optimizer: nlminb 
EM acceleration: Ramsay 
Number of rectangular quadrature: 61
Latent density type: Gaussian 

Log-likelihood = -11223.68
Estimated parameters: 52 
AIC = 22487.35
BIC = 22603.09; SABIC = 22539.54
G2 (745) = 1420.23, p = 0
RMSEA = 0.019, CFI = NaN, TLI = NaN

----------
GROUP: Boy 
                F1    h2
Respect      0.565 0.319
Obedient     0.717 0.515
GoodMannered 0.679 0.461
WellBehaved  0.610 0.372
Polite       0.674 0.454
Orderly      0.709 0.503
Disciplined  0.728 0.529
Loyal        0.563 0.317

SS loadings:  3.47 
Proportion Var:  0.434 

Factor correlations: 

   F1
F1  1

----------
GROUP: Control 
                F1    h2
Respect      0.584 0.341
Obedient     0.734 0.539
GoodMannered 0.697 0.486
WellBehaved  0.629 0.395
Polite       0.692 0.479
Orderly      0.727 0.528
Disciplined  0.744 0.554
Loyal        0.582 0.339

SS loadings:  3.661 
Proportion Var:  0.458 

Factor correlations: 

   F1
F1  1

----------
GROUP: Girl 
                F1    h2
Respect      0.528 0.279
Obedient     0.683 0.467
GoodMannered 0.643 0.414
WellBehaved  0.573 0.328
Polite       0.638 0.407
Orderly      0.675 0.455
Disciplined  0.694 0.481
Loyal        0.526 0.277

SS loadings:  3.108 
Proportion Var:  0.389 

Factor correlations: 

   F1
F1  1
            M2 df p      RMSEA    RMSEA_5   RMSEA_95  SRMSR.Boy SRMSR.Control SRMSR.Girl       TLI
stats 658.5305 88 0 0.05189913 0.04821907 0.05563341 0.06242843    0.05704103 0.06419632 0.8864569
            CFI
stats 0.8810501
                      AIC    SABIC       HQ      BIC    logLik      X2 df p
mod_scalar2_3    22487.35 22539.54 22529.45 22603.08 -11223.68             
mod_configural_3 22244.41 22369.66 22345.44 22522.17 -11074.21 298.941 28 0
Iteration: 1, Log-Lik: -11538.508, Max-Change: 0.38870Iteration: 2, Log-Lik: -11319.142, Max-Change: 0.17754Iteration: 3, Log-Lik: -11290.653, Max-Change: 0.08494Iteration: 4, Log-Lik: -11286.004, Max-Change: 0.04721Iteration: 5, Log-Lik: -11284.260, Max-Change: 0.03708Iteration: 6, Log-Lik: -11283.125, Max-Change: 0.03310Iteration: 7, Log-Lik: -11281.803, Max-Change: 0.05838Iteration: 8, Log-Lik: -11280.705, Max-Change: 0.03282Iteration: 9, Log-Lik: -11280.150, Max-Change: 0.02528Iteration: 10, Log-Lik: -11279.448, Max-Change: 0.03853Iteration: 11, Log-Lik: -11278.886, Max-Change: 0.02312Iteration: 12, Log-Lik: -11278.558, Max-Change: 0.01840Iteration: 13, Log-Lik: -11278.156, Max-Change: 0.03447Iteration: 14, Log-Lik: -11277.679, Max-Change: 0.01833Iteration: 15, Log-Lik: -11277.481, Max-Change: 0.01365Iteration: 16, Log-Lik: -11277.249, Max-Change: 0.01806Iteration: 17, Log-Lik: -11277.083, Max-Change: 0.01192Iteration: 18, Log-Lik: -11276.969, Max-Change: 0.00988Iteration: 19, Log-Lik: -11276.867, Max-Change: 0.02254Iteration: 20, Log-Lik: -11276.620, Max-Change: 0.01089Iteration: 21, Log-Lik: -11276.548, Max-Change: 0.00759Iteration: 22, Log-Lik: -11276.483, Max-Change: 0.00781Iteration: 23, Log-Lik: -11276.437, Max-Change: 0.00604Iteration: 24, Log-Lik: -11276.399, Max-Change: 0.00532Iteration: 25, Log-Lik: -11276.366, Max-Change: 0.01271Iteration: 26, Log-Lik: -11276.279, Max-Change: 0.00615Iteration: 27, Log-Lik: -11276.254, Max-Change: 0.00426Iteration: 28, Log-Lik: -11276.233, Max-Change: 0.00426Iteration: 29, Log-Lik: -11276.218, Max-Change: 0.00336Iteration: 30, Log-Lik: -11276.205, Max-Change: 0.00299Iteration: 31, Log-Lik: -11276.194, Max-Change: 0.00720Iteration: 32, Log-Lik: -11276.164, Max-Change: 0.00349Iteration: 33, Log-Lik: -11276.156, Max-Change: 0.00243Iteration: 34, Log-Lik: -11276.149, Max-Change: 0.00241Iteration: 35, Log-Lik: -11276.143, Max-Change: 0.00191Iteration: 36, Log-Lik: -11276.139, Max-Change: 0.00170Iteration: 37, Log-Lik: -11276.135, Max-Change: 0.00412Iteration: 38, Log-Lik: -11276.125, Max-Change: 0.00200Iteration: 39, Log-Lik: -11276.122, Max-Change: 0.00139Iteration: 40, Log-Lik: -11276.120, Max-Change: 0.00138Iteration: 41, Log-Lik: -11276.118, Max-Change: 0.00110Iteration: 42, Log-Lik: -11276.117, Max-Change: 0.00098Iteration: 43, Log-Lik: -11276.115, Max-Change: 0.00237Iteration: 44, Log-Lik: -11276.112, Max-Change: 0.00115Iteration: 45, Log-Lik: -11276.111, Max-Change: 0.00080Iteration: 46, Log-Lik: -11276.110, Max-Change: 0.00079Iteration: 47, Log-Lik: -11276.110, Max-Change: 0.00063Iteration: 48, Log-Lik: -11276.109, Max-Change: 0.00057Iteration: 49, Log-Lik: -11276.109, Max-Change: 0.00137Iteration: 50, Log-Lik: -11276.108, Max-Change: 0.00067Iteration: 51, Log-Lik: -11276.107, Max-Change: 0.00047Iteration: 52, Log-Lik: -11276.107, Max-Change: 0.00047Iteration: 53, Log-Lik: -11276.107, Max-Change: 0.00037Iteration: 54, Log-Lik: -11276.107, Max-Change: 0.00033Iteration: 55, Log-Lik: -11276.107, Max-Change: 0.00079Iteration: 56, Log-Lik: -11276.106, Max-Change: 0.00039Iteration: 57, Log-Lik: -11276.106, Max-Change: 0.00027Iteration: 58, Log-Lik: -11276.106, Max-Change: 0.00027Iteration: 59, Log-Lik: -11276.106, Max-Change: 0.00021Iteration: 60, Log-Lik: -11276.106, Max-Change: 0.00019Iteration: 61, Log-Lik: -11276.106, Max-Change: 0.00046Iteration: 62, Log-Lik: -11276.106, Max-Change: 0.00022Iteration: 63, Log-Lik: -11276.106, Max-Change: 0.00016Iteration: 64, Log-Lik: -11276.106, Max-Change: 0.00015Iteration: 65, Log-Lik: -11276.106, Max-Change: 0.00013Iteration: 66, Log-Lik: -11276.106, Max-Change: 0.00011Iteration: 67, Log-Lik: -11276.106, Max-Change: 0.00026Iteration: 68, Log-Lik: -11276.105, Max-Change: 0.00013Iteration: 69, Log-Lik: -11276.105, Max-Change: 0.00009

Call:
multipleGroup(data = irt_data_3, model = 1, group = group_3, 
    invariance = c("slopes", "intercepts", "free_var"))

Full-information item factor analysis with 1 factor(s).
Converged within 1e-04 tolerance after 69 EM iterations.
mirt version: 1.41 
M-step optimizer: nlminb 
EM acceleration: Ramsay 
Number of rectangular quadrature: 61
Latent density type: Gaussian 

Log-likelihood = -11276.11
Estimated parameters: 50 
AIC = 22588.21
BIC = 22692.37; SABIC = 22635.18
G2 (747) = 1525.09, p = 0
RMSEA = 0.021, CFI = NaN, TLI = NaN

----------
GROUP: Boy 
                F1    h2
Respect      0.561 0.314
Obedient     0.718 0.516
GoodMannered 0.700 0.490
WellBehaved  0.624 0.390
Polite       0.683 0.467
Orderly      0.738 0.545
Disciplined  0.734 0.538
Loyal        0.591 0.349

SS loadings:  3.609 
Proportion Var:  0.451 

Factor correlations: 

   F1
F1  1

----------
GROUP: Control 
                F1    h2
Respect      0.568 0.323
Obedient     0.725 0.526
GoodMannered 0.707 0.500
WellBehaved  0.632 0.399
Polite       0.690 0.477
Orderly      0.745 0.555
Disciplined  0.740 0.548
Loyal        0.599 0.358

SS loadings:  3.685 
Proportion Var:  0.461 

Factor correlations: 

   F1
F1  1

----------
GROUP: Girl 
                F1    h2
Respect      0.528 0.279
Obedient     0.688 0.473
GoodMannered 0.669 0.447
WellBehaved  0.592 0.350
Polite       0.652 0.425
Orderly      0.709 0.502
Disciplined  0.704 0.496
Loyal        0.558 0.312

SS loadings:  3.284 
Proportion Var:  0.411 

Factor correlations: 

   F1
F1  1
            M2 df p      RMSEA    RMSEA_5   RMSEA_95  SRMSR.Boy SRMSR.Control SRMSR.Girl       TLI
stats 754.6494 90 0 0.05539072 0.05176497 0.05906462 0.06621083    0.05789625 0.06321922 0.8706654
            CFI
stats 0.8614272
                      AIC    SABIC       HQ      BIC    logLik      X2 df p
mod_scalar1_3    22588.21 22635.18 22626.10 22692.37 -11276.10             
mod_configural_3 22244.41 22369.66 22345.44 22522.17 -11074.21 403.797 30 0
Iteration: 1, Log-Lik: -11538.508, Max-Change: 0.38633Iteration: 2, Log-Lik: -11349.356, Max-Change: 0.24015Iteration: 3, Log-Lik: -11299.591, Max-Change: 0.14340Iteration: 4, Log-Lik: -11284.755, Max-Change: 0.08483Iteration: 5, Log-Lik: -11280.168, Max-Change: 0.04979Iteration: 6, Log-Lik: -11278.670, Max-Change: 0.02996Iteration: 7, Log-Lik: -11278.042, Max-Change: 0.01326Iteration: 8, Log-Lik: -11277.952, Max-Change: 0.00756Iteration: 9, Log-Lik: -11277.920, Max-Change: 0.00474Iteration: 10, Log-Lik: -11277.905, Max-Change: 0.00177Iteration: 11, Log-Lik: -11277.903, Max-Change: 0.00102Iteration: 12, Log-Lik: -11277.902, Max-Change: 0.00058Iteration: 13, Log-Lik: -11277.902, Max-Change: 0.00020Iteration: 14, Log-Lik: -11277.902, Max-Change: 0.00011Iteration: 15, Log-Lik: -11277.902, Max-Change: 0.00010

Call:
multipleGroup(data = irt_data_3, model = 1, group = group_3, 
    invariance = c("slopes", "intercepts"))

Full-information item factor analysis with 1 factor(s).
Converged within 1e-04 tolerance after 15 EM iterations.
mirt version: 1.41 
M-step optimizer: BFGS 
EM acceleration: Ramsay 
Number of rectangular quadrature: 61
Latent density type: Gaussian 

Log-likelihood = -11277.9
Estimated parameters: 48 
AIC = 22587.8
BIC = 22680.39; SABIC = 22629.55
G2 (749) = 1528.68, p = 0
RMSEA = 0.021, CFI = NaN, TLI = NaN

----------
GROUP: Boy 
                F1    h2
Respect      0.551 0.303
Obedient     0.709 0.502
GoodMannered 0.693 0.480
WellBehaved  0.616 0.379
Polite       0.675 0.456
Orderly      0.732 0.535
Disciplined  0.727 0.528
Loyal        0.583 0.340

SS loadings:  3.524 
Proportion Var:  0.441 

Factor correlations: 

   F1
F1  1

----------
GROUP: Control 
                F1    h2
Respect      0.551 0.303
Obedient     0.709 0.502
GoodMannered 0.693 0.480
WellBehaved  0.616 0.379
Polite       0.675 0.456
Orderly      0.732 0.535
Disciplined  0.727 0.528
Loyal        0.583 0.340

SS loadings:  3.524 
Proportion Var:  0.441 

Factor correlations: 

   F1
F1  1

----------
GROUP: Girl 
                F1    h2
Respect      0.551 0.303
Obedient     0.709 0.502
GoodMannered 0.693 0.480
WellBehaved  0.616 0.379
Polite       0.675 0.456
Orderly      0.732 0.535
Disciplined  0.727 0.528
Loyal        0.583 0.340

SS loadings:  3.524 
Proportion Var:  0.441 

Factor correlations: 

   F1
F1  1
            M2 df p      RMSEA    RMSEA_5   RMSEA_95  SRMSR.Boy SRMSR.Control SRMSR.Girl      TLI
stats 753.6604 92 0 0.05466201 0.05107275 0.05829877 0.06384998    0.05781632  0.0693114 0.874046
            CFI
stats 0.8620504
                         AIC    SABIC       HQ      BIC    logLik     X2 df p
mod_fullconstrain_3 22587.80 22629.55 22621.48 22680.39 -11277.90            
mod_configural_3    22244.41 22369.66 22345.44 22522.17 -11074.21 407.39 32 0
                      AIC    SABIC       HQ      BIC    logLik     X2 df     p
mod_metric_3     22235.08 22318.57 22302.43 22420.24 -11085.54                
mod_configural_3 22244.41 22369.66 22345.44 22522.17 -11074.21 22.662 16 0.123
                   AIC    SABIC       HQ      BIC    logLik      X2 df p
mod_scalar2_3 22487.35 22539.54 22529.45 22603.08 -11223.68             
mod_metric_3  22235.08 22318.57 22302.43 22420.24 -11085.54 276.279 12 0
                   AIC    SABIC       HQ      BIC    logLik      X2 df p
mod_scalar1_3 22588.21 22635.18 22626.10 22692.37 -11276.10             
mod_scalar2_3 22487.35 22539.54 22529.45 22603.08 -11223.68 104.857  2 0
                         AIC    SABIC       HQ      BIC   logLik    X2 df     p
mod_fullconstrain_3 22587.80 22629.55 22621.48 22680.39 -11277.9               
mod_scalar1_3       22588.21 22635.18 22626.10 22692.37 -11276.1 3.592  2 0.166
                         AIC    SABIC       HQ      BIC    logLik      X2 df     p
mod_fullconstrain_3 22587.80 22629.55 22621.48 22680.39 -11277.90                 
mod_scalar1_3       22588.21 22635.18 22626.10 22692.37 -11276.10   3.592  2 0.166
mod_scalar2_3       22487.35 22539.54 22529.45 22603.08 -11223.68 104.857  2     0
mod_metric_3        22235.08 22318.57 22302.43 22420.24 -11085.54 276.279 12     0
mod_configural_3    22244.41 22369.66 22345.44 22522.17 -11074.21  22.662 16 0.123

----------
GROUP: Boy 
                F1    h2
Respect      0.565 0.319
Obedient     0.717 0.515
GoodMannered 0.679 0.461
WellBehaved  0.610 0.372
Polite       0.674 0.454
Orderly      0.709 0.503
Disciplined  0.728 0.529
Loyal        0.563 0.317

SS loadings:  3.47 
Proportion Var:  0.434 

Factor correlations: 

   F1
F1  1

----------
GROUP: Control 
                F1    h2
Respect      0.584 0.341
Obedient     0.734 0.539
GoodMannered 0.697 0.486
WellBehaved  0.629 0.395
Polite       0.692 0.479
Orderly      0.727 0.528
Disciplined  0.744 0.554
Loyal        0.582 0.339

SS loadings:  3.661 
Proportion Var:  0.458 

Factor correlations: 

   F1
F1  1

----------
GROUP: Girl 
                F1    h2
Respect      0.528 0.279
Obedient     0.683 0.467
GoodMannered 0.643 0.414
WellBehaved  0.573 0.328
Polite       0.638 0.407
Orderly      0.675 0.455
Disciplined  0.694 0.481
Loyal        0.526 0.277

SS loadings:  3.108 
Proportion Var:  0.389 

Factor correlations: 

   F1
F1  1
$Boy
$items
                a1      d g u
Respect      1.165 -0.201 0 1
Obedient     1.752 -1.597 0 1
GoodMannered 1.574  0.115 0 1
WellBehaved  1.310 -1.362 0 1
Polite       1.553  0.629 0 1
Orderly      1.713 -1.737 0 1
Disciplined  1.805 -1.193 0 1
Loyal        1.159 -0.564 0 1

$means
F1 
 0 

$cov
   F1
F1  1


$Control
$items
                a1      d g u
Respect      1.165 -0.201 0 1
Obedient     1.752 -1.597 0 1
GoodMannered 1.574  0.115 0 1
WellBehaved  1.310 -1.362 0 1
Polite       1.553  0.629 0 1
Orderly      1.713 -1.737 0 1
Disciplined  1.805 -1.193 0 1
Loyal        1.159 -0.564 0 1

$means
   F1 
0.425 

$cov
      F1
F1 1.104


$Girl
$items
                a1      d g u
Respect      1.165 -0.201 0 1
Obedient     1.752 -1.597 0 1
GoodMannered 1.574  0.115 0 1
WellBehaved  1.310 -1.362 0 1
Polite       1.553  0.629 0 1
Orderly      1.713 -1.737 0 1
Disciplined  1.805 -1.193 0 1
Loyal        1.159 -0.564 0 1

$means
   F1 
0.572 

$cov
      F1
F1 0.825


